Installation Guideline
Here, we will provide you with the list of programs and modules for python you need to install for this school.
Install python 3.13¶
Regardless of your operating system, you can download python 3.13 here. For example, for windows we would recommend you to download the recommended file for windows Windows installer (64-bit).
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On windows machines you can also download it from the Microsoft store.
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On MacOS you can also install python through Homebrew or MacPorts:
brew install python@3.13
sudo port install python313
- On linux, you can install in from the source. Alternatives methods depend on your distribution. On ubuntu try
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.13 python3.13-venv
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on Fedora and Red Hat
dnf install python3.13
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on arch linux
sudo pacman -S python
Alternatively, you can also install python using Anaconda, which is a popular and comprehensive open-source distribution of the Python and R programming languages, specifically designed for data science, machine learning, and artificial intelligence. It bundles these languages with a vast collection of data science packages, as well as tools for managing environments and packages, simplifying the process of setting up and using these technologies.
Create a folder: PyPAW2025¶
Create a folder/directory called PyPAW2025 (from Python Photonics Automation Workshop 2025) wherever you want in your system. This will be your working folder for this workshop. Go inside the folder and open the terminal on linux or MacOs or the command prompt on Windows (start up, and look for cmd). If not already there, move into that folder using cd. Example: If you create the folder in the Desktop and your terminal or command prompt is open in your home folder, you can write:
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On windows
cd Desktop\PyPAW2025
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On linux and MacOS
cd Desktop/PyPAW2025
Create virtual environment: env¶
Now, we will create a virtual environment using venv. This will make it easy to try different packages or python modules. Moreover, it will help you keep your python installation organized.
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On windows:
py -3.13 -m venv env
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On linux and MacOS:
Now you should have a folder called env inside PyPAW2025python3.13 -m venv env
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If you are using Anaconda
conda create --prefix ./env python=3.13
Activate the virtual environment¶
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On the windows command prompt type:
env\Scripts\activate
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On linux and MacOS:
source env/bin/activate
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If you are using Anaconda
conda activate ./env
If nothing failed, your current line on the terminal or command prompt should start with (env).
Testing the virtual environment¶
To test the virtual environment, type python on the terminal or command prompt and press enter. The python shell should appear on the terminal. You will see something like this on ubuntu:
Python 3.13.3 (main, Apr 9 2025, 08:55:03) [GCC 13.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
For windows, MacOs, or other linux distributions you should see something similar.
Now you can type in the python shell
print("Hello World!")
and press enter. It will output:
Hello World!
Type exit() and press enter to leave the python shell. Your current line on the terminal or command prompt should start with (env). You can also type the previous program into a file. For that type in the terminal or command prompt
- On windows write
notepad hello.py
On linux and MacOS write
nano hello.py
Now type
print("Hello World!")
python hello.py
which will output:
Hello World!
Update pip¶
Now type
pip install --upgrade pip
python.exe install --upgrade pip
Python Packages¶
Now, let us start installing some python packages. Open the terminal or command prompt and activate your environment if you close it for some reason.
Firstly, we will install three of the most used python packages in academia
pip install matplotlib numpy scipy
These are used to make plots, do scientific calculations, and statistical analysis (read more here numpy, scipy, and matplotlib).
Next we need to help python to recognize and read for the usb ports of your computer. We need a library named libusb-1.0. While there are many ways to install this library, the easiest ways we found are the following.
- On windows, you need to go to libusb and mouseover Downloads and select the second option Latest Windows Binaries. Extract the file and choose the appropriate .dll. Example: Downloads\libusb-1.0.29\VS2022\MS64\dll\libusb-1.0.dll. Copy this file and paste it in This PC\Windows(C:)\Windows\System32
-On several linux distributions, it is probably already installed. If not, just do
sudo apt install libusb-1.0
-On MacOs,
brew install libusb
Then install the python module pyusb
pip install pyusb
pip install zeroconf psutil
To test the pyusb installation open the python shell (by pressing python on the terminal or command prompt): and type:
import usb
for dev in usb.core.find(find_all=True):
print(dev)
Now, we are ready to install PyVISA and PySerial:
pip install PyVISA PyVISA-py pyserial
If you want to use PyVISA you need to install National Instruments’s VISA library or PyVISA-Py which is a pure Python implementation of the VISA standard. For this workshop PyVISA-Py is enough
Finally, we want to install two modules to control a few Thorlabs devices, a linear stage and a powermeter:
pip install elliptec ThorlabsPM100
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On windows, you also want to install the thorlabs software for the PM100D powermeter. In particular you want to install the Thorlabs driver switcher program, that comes also with the software for the power meter. You can look for the driver switcher at the start up.
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On ubuntu and similar linux distros you might not have permissions to read the devices. Use sudo or change the permissions (see this example)
Additionally, we want you to build a Graphical User Interface (GUI), for that we will use PyQT5:
pip install PyQT5
When you work with PyQT, it is a good idea to install PyQT Designer:
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On windows:
pip install PyQT5Designer
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On ubuntu and similar linux distros, Designer comes with
sudo apt-get install qttools5-dev-tools
You can also install PyQT5 through apt:
sudo apt-get install python3-pyqt5
sudo apt-get install pyqt5-dev-tools
- On MacOS you need to download and install QT. During the installation you need to create a QT account. It should be free. Follow this video for more details.
Additional programs¶
IDE¶
You can use any code editor or Integrated Development Environment (IDE) to write your python programs. We would recommend visual studio code Check this for installation details. If you installed Anaconda, you can use spyder also.